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The use of SESK as a trend parameter for localized bearing fault diagnosis in induction machines

  • Published:2016-07 Issue: Volume:63 Page:436-447
  • ISSN:0019-0578
  • Container-title:ISA Transactions
  • language:en
  • Short-container-title:ISA Transactions

Author:

Saidi Lotfi,Ben Ali Jaouher,Benbouzid Mohamed,Bechhoefer Eric

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference39 articles.

1. Report of large motor reliability survey of industrial and commercial installations, Part I and II;O’Donnell;IEEE Trans Ind Appl,1985

2. A survey of faults on induction motors in offshore oil industry,petrochemical industry, gas terminals, and oil refineries;Thorsen;IEEE Trans Ind Appl,1995

3. Rolling element bearing diagnostics—a tutorial;Randall;Mech Syst Signal Process,2011

4. Condition monitoring and fault diagnosis of electrical motors-a review;Nandi;IEEE Trans Energy Convers,2005

5. Scale invariant feature extraction algorithm for the automatic diagnosis of rotor asymmetries in induction motors;Antonio-Daviu;IEEE Trans Ind Inform,2013

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